Data platform ingestion

Popsink continuously replicates transactions from operational and legacy systems into Snowflake, BigQuery, Iceberg, and more — powering analytics and AI without disruption.

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Modern data platforms are only as good as the data inside them.

Yet feeding warehouses and lakes at scale is harder than it looks:

Batch ETL jobs create latency and stale dashboards.

Manual pipelines are costly to maintain and break under schema changes.

Legacy sources like IBM i, Oracle, or SAP are difficult to connect directly.

Without reliable ingestion, data initiatives stall and business teams lose trust in the platform.

How Popsink Powers Data Platforms

The Popsink Advantage for Data Platform Ingestion

Fresher insights

Eliminate the lag of overnight jobs with up-to-the-minute data.

Higher trust

Deliver accurate, consistent data across all teams.

Lower engineering overhead

No custom scripts or fragile ETL pipelines to maintain.

Future-proofed pipelines

Support schema changes and new sources without rework.

Flexible deployment

Cloud, BYOC, or on-prem — built for compliance-heavy industries.

Popsink's technology rationalizes ingestion costs and enables us to easily move large volumes of data. This allows us to address new analytical use cases for our internal stakeholders, and begin to meet the analytical needs expressed by our clients.